Research Article Open Access

HYBRID IMPLEMENTATION AND PERFORMANCE ANALYSIS FOR HIGH PERFORMANCE COMPUTATION WORKLOAD

Joseph Issa1
  • 1 Notre Dame University, Lebanon

Abstract

Given the need to achieve maximum performance possible, offloading intensive computation workload to GPU is a key to achieve this goal. Offloading most of the workload to GPU may not results in desired performance, so a middle approach is more suitable such as splitting the workload between the CPU and the GPU can be considered as an optimized approach. In this study, we used a popular high performance computation workload which can also be implemented using a hybrid approach in which part of the workload is offloaded to the CPU. We also present a performance estimation method which is verified to estimate performance with in 5% error margin.

Journal of Computer Science
Volume 10 No. 9, 2014, 1811-1818

DOI: https://doi.org/10.3844/jcssp.2014.1811.1818

Submitted On: 3 March 2014 Published On: 26 April 2014

How to Cite: Issa, J. (2014). HYBRID IMPLEMENTATION AND PERFORMANCE ANALYSIS FOR HIGH PERFORMANCE COMPUTATION WORKLOAD. Journal of Computer Science, 10(9), 1811-1818. https://doi.org/10.3844/jcssp.2014.1811.1818

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Keywords

  • Performance Analysis
  • Hybrid Computation